Background: There is a need to measure antibiotic resistance of Pseudomonas aeruginosa (PA) in cystic fibrosis (CF), either qualitatively or quantitatively, to inform patient management. The aim of this study was to develop a simple method by which resistance can be quantified by calculating a relative resistance index (RRI), and to assess correlation of RRIs with clinical variables.
Methods: In our model, RRIs were calculated based on resistance to aztreonam, ceftazidime, ciprofloxacin, colistin, meropenem, tazocin, temicillin and tobramycin. Eighty-five adults with CF and chronic PA colonisation were identified. For each, all PA cultures were allocated a score of 0 for susceptible, 0.5 for intermediate resistance or 1 for resistance for each antibiotic listed above, and the RRI calculated by dividing the sum of these by the number of antibiotics, giving a maximum score of 1. The mean RRIs for all cultures were correlated with key clinical variables monitored in CF patients (including age, FEV1, IV antibiotic days and BMI).
Results: RRIs for non-mucoid PA exhibited moderate positive correlation with total number of IV days (r = 0.405; p < 0.001) and moderate negative correlation with FEV1 % predicted (r = -0.437; p < 0.001). RRIs were not significantly correlated with duration of colonisation, typing (clonal vs other strain) or BMI. Median RRIs were significantly higher for females (0.26, IQR 0.13-0.54) than males (0.18, IQR 0.07-0.37) for non-mucoid PA only (p = 0.03).
Conclusions: RRI is an easily calculated measure that correlates with other clinical variables in CF patients and enables quantitative monitoring of resistance.
Keywords: Cystic fibrosis; Pseudomonas aeruginosa; antibiotic resistance; antibiotic susceptibility; infection; microbiology.